🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to AI Infra Summit 2026 — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
About this event
AI Infra Summit 2026
AI Infra Summit 2026 is a focused, technical, and business-driven event built around the real-world infrastructure required to run modern AI systems—covering compute, data movement, AI data center operations, and the emerging discipline of Physical AI. The summit brings together the people, teams, and solution providers that design, procure, deploy, and scale the infrastructure layers that make AI production possible.
Date: September 15–17, 2026
Venue: Santa Clara Convention Center
City/Country: Santa Clara, USA
What the Summit Covers
AI Infra Summit 2026 is organized around the end-to-end infrastructure stack. Instead of treating “AI” as a single theme, the program is structured to address what organizations actually need to build and operate AI workloads at scale.
1) Data & Models
This track emphasizes the foundations that determine AI performance and reliability—how data is prepared, governed, moved, and transformed into model-ready formats. It also covers the operational concerns that affect model lifecycle management, including performance considerations, scaling requirements, and practical constraints teams face when turning experiments into production.
2) Compute
Compute remains the center of gravity for many AI programs. This summit’s compute focus is designed to bring together experts who care about throughput, efficiency, cost, orchestration, and the engineering decisions that influence time-to-deploy and time-to-value.
3) Data Movement
AI performance is often limited not by model architecture alone, but by the movement and handling of data across systems. The Data Movement track is intended for teams that manage pipelines, bottlenecks, transfer optimization, and the reliability requirements of data flow in large-scale AI environments.
4) AI Data Center
The AI Data Center portion of the agenda addresses how data center design and operations evolve to support AI workloads—power, cooling, scaling, operational resiliency, and the infrastructure choices that impact both performance and total cost of ownership.
5) Physical AI
Physical AI represents the shift from AI as a digital capability to AI embedded into real-world, sensor-driven and robotics-adjacent systems. This track highlights how organizations connect models to physical environments, enabling AI to observe, reason, and act in ways that require integration beyond traditional software deployment.
Program Scale and Format
AI Infra Summit 2026 is presented as a high-signal event with a large technical and executive audience base. According to the official event information, the summit is expected to bring:
- 8,000+ attendees
- 400+ speakers spanning compute, AI data centers, data movement, and Physical AI
The agenda includes conference programming supported by dedicated expo theater sessions, enabling both deeper technical discussion and structured vendor/product presentation moments.
Who the Event Is Built For (Audience Context)
AI Infra Summit 2026 is designed for organizations actively building or scaling AI systems, where infrastructure decisions drive outcomes. The event context indicates strong relevance for teams responsible for the infrastructure layers behind AI deployments.
In practical terms, the summit is the kind of meeting where infrastructure buyers and implementers want to understand how to:
- Select and evaluate compute approaches that meet performance and efficiency targets
- Improve reliability and capacity planning for AI workloads
- Optimize data handling and movement to reduce bottlenecks
- Scale data center operations and architecture for AI-ready environments
- Integrate AI into physical systems through Physical AI frameworks
The summit’s structure—organized around the infrastructure stack—helps ensure that attendees can connect their day-to-day infrastructure priorities with the most relevant solutions and expert perspectives.
Why AI Infra Summit 2026 Matters for Infrastructure Teams
AI is widely discussed, but operationalizing AI at scale requires infrastructure competence. AI Infra Summit 2026 is positioned to connect the dots between technical capability and deployment realities. For teams evaluating infrastructure investments or modernization roadmaps, this summit provides a compressed environment to:
- Benchmark emerging infrastructure approaches against real deployment needs
- Learn what changes in compute and storage patterns as workloads mature
- Understand how data movement architecture affects end-to-end performance
- Assess how AI data center considerations influence uptime, scalability, and cost
- Explore how Physical AI changes system design and integration requirements
The combination of broad topic coverage and a high speaker-to-attendee scale supports both strategic evaluation and detailed technical learning within the same event footprint.
Event Location
Santa Clara Convention Center provides the venue setting for AI Infra Summit 2026 from September 15–17, 2026. The location supports access to a dense technology ecosystem, making it convenient for infrastructure, engineering, and technology leadership teams to attend and collaborate.
City/Country: Santa Clara, USA
How We Should Frame This Summit for Research & Outreach
When we analyze and document this event for buyer-relevant research, we should treat AI Infra Summit 2026 as a summit where the strongest value often comes from matching attendee roles to the infrastructure stack focus areas.
In other words, outreach should align with one or more of the summit’s core pillars: Compute, Data Movement, AI Data Center, and Physical AI, plus supporting themes under Data & Models.
This approach ensures our event research stays buyer-relevant and maps cleanly to the operational responsibilities that typically influence infrastructure decisions.
Data sheet
| Event Name | AI Infra Summit 2026 |
| Event Date | September 15–17, 2026 |
| Event Status | Upcoming |
| Venue | Santa Clara Convention Center |
| City | Santa Clara |
| State / Region | California |
| Country | United States |
| Organizer | Not publicly confirmed on the provided official page |
| Official Event Website | ai-infra-summit.com |
| Event Type | Technical summit, conference, and expo focused on AI infrastructure |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Industrial Engineering; Power & Energy; Logistics & Transportation |
| Audience Reach | Global / national buying audience with strong Silicon Valley concentration |
| Estimated Attendance / Expected Footfall | 8,000 attendees (official website claim) |
| Attendance Data Reliability | High for current-year expectation because it is stated on the official event website |
| Main Purpose of Event | To connect buyers, technical leaders, infrastructure providers, and solution teams working on AI compute, AI data centers, data movement, and physical AI infrastructure |
AI Infra Summit 2026 is a specialized summit built around the infrastructure layer required to run modern AI systems at scale. The official positioning emphasizes compute, AI data centers, data movement, and physical AI, making this a highly technical event for organizations that design, procure, deploy, and operate the systems behind AI production workloads.
The event matters because AI infrastructure purchasing is becoming a strategic budget line across cloud, enterprise, colocation, semiconductor, networking, power, and data center operations. It is relevant for procurement teams, engineering leadership, IT decision-makers, data center operators, vendors, integrators, and solution providers seeking enterprise buyers, infrastructure partners, and technology evaluation opportunities.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Procurement and sourcing teams | Enterprise IT, cloud, data center, and infrastructure buying organizations | Own vendor evaluation, RFPs, pricing, and contract negotiation | Very high for vendors selling hardware, software, colocation, power, and managed services |
| AI / ML infrastructure leaders | AI-native companies, enterprise innovation teams, cloud teams, labs | Define performance, scale, and architecture requirements | High for compute, networking, storage, and data movement suppliers |
| Data center operations leaders | Colocation providers, hyperscalers, enterprise DC teams, operators | Influence facility, power, cooling, and operational technology purchases | High for cooling, power, racks, monitoring, and facility tech vendors |
| CIO / CTO / IT leadership | Enterprises, platform companies, public sector IT groups | Own strategic infrastructure direction and budget approval | High for AI platforms, cloud, observability, security, and infrastructure software |
| Network and architecture teams | Telecom, cloud, enterprise architecture, systems engineering | Specify data movement, interconnect, latency, and scaling requirements | Very high for networking, interconnect, and storage vendors |
| Facilities and energy leaders | Data centers, industrial facilities, energy-intensive operations | Influence power, cooling, and facility optimization investments | High for power distribution, thermal management, and sustainability suppliers |
| Semiconductor and hardware buyers | Chipmakers, OEMs, server vendors, accelerator partners | Drive sourcing, qualification, and ecosystem partnerships | High for component, board, systems, and manufacturing ecosystem vendors |
| Solution integrators and consultants | Systems integrators, advisory firms, implementation partners | Influence vendor selection and implementation pathways | Useful channel for partner development and deal influence |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Santa Clara / Silicon Valley | Local and regional Bay Area companies | Very high | Strong concentration of AI, cloud, semiconductor, data center, and enterprise technology buyers |
| Bay Area / California | Statewide enterprise and tech organizations | Very high | Includes cloud, software, hardware, data center, and energy buyers |
| West Coast / Pacific region | Nearby technology hubs in Washington, Oregon, and Southern California | High | Likely travel corridor for enterprise IT and infrastructure teams |
| United States national reach | Hyperscalers, enterprises, investors, OEMs, and service providers | High | A national footprint is expected for a summit of this type |
| International technology corridors | Canada, Europe, Israel, India, East Asia, and global infrastructure vendors | Medium to high | Relevant where AI infrastructure vendors sell globally or partner with U.S. buyers |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | AI infrastructure is a global market spanning chip supply chains, cloud platforms, data center operators, and enterprise buyers |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| NVIDIA | Hardware / AI infrastructure buyer | Core AI compute ecosystem and strategic infrastructure decision-maker | nvidia.com | VP Infrastructure, Director of Data Center, Procurement Manager, Systems Architect | Strong Market Fit, Attendance Not Confirmed |
| Microsoft | Cloud / enterprise buyer | Large-scale AI cloud, data center, and enterprise infrastructure investment base | microsoft.com | Director of Cloud Infrastructure, AI Platform Lead, Procurement Director, Technical Program Manager | Strong Market Fit, Attendance Not Confirmed |
| Google Cloud | Cloud infrastructure buyer | AI infrastructure scale, data movement, and data center operations relevance | cloud.google.com | Infrastructure Director, Data Center Operations, Sourcing Lead, Network Engineering Manager | Strong Market Fit, Attendance Not Confirmed |
| Amazon Web Services | Hyperscaler / cloud buyer | High-volume AI compute, storage, networking, and energy procurement | aws.amazon.com | Principal Technical Program Manager, Data Center Procurement, Infrastructure Architect, Supplier Manager | Strong Market Fit, Attendance Not Confirmed |
| Meta | AI infrastructure buyer | Large internal AI compute and data center infrastructure requirements | meta.com | Director of Infrastructure, Hardware Procurement, Data Center Engineering, Network Operations Lead | Strong Market Fit, Attendance Not Confirmed |
| Oracle | Enterprise cloud buyer | AI cloud, storage, infrastructure, and enterprise procurement relevance | oracle.com | Cloud Infrastructure VP, Sourcing Manager, Data Center Ops Director, Enterprise Architecture Lead | Strong Market Fit, Attendance Not Confirmed |
| Intel | Semiconductor buyer / ecosystem buyer | Relevant to compute, packaging, memory, interconnect, and AI hardware supply chain | intel.com | Supply Chain Director, Procurement Lead, Product Line Manager, Data Center Strategy | Strong Market Fit, Attendance Not Confirmed |
| AMD | Compute ecosystem buyer | AI accelerator and compute platform procurement relevance | amd.com | Platform Strategy Director, Hardware Sourcing Lead, Technical Procurement, Data Center Partnerships | Strong Market Fit, Attendance Not Confirmed |
| Equinix | Data center operator | Direct fit for AI data center, colocation, and interconnect buyers | equinix.com | VP Data Center Operations, Procurement Director, Facilities Engineering, Interconnection Product Lead | Strong Market Fit, Attendance Not Confirmed |
| Digital Realty | Data center operator | Power, cooling, colocation, and enterprise AI infrastructure buyer profile | digitalrealty.com | Director of Operations, Sourcing Manager, Energy/Facilities Lead, Solutions Architect | Strong Market Fit, Attendance Not Confirmed |
| CoreWeave | AI cloud / infrastructure buyer | AI-native infrastructure, GPU cloud, and data center scaling needs | coreweave.com | Infrastructure Operations Lead, Procurement Manager, Data Center Deployment Manager, Network Engineering Lead | Strong Market Fit, Attendance Not Confirmed |
| OpenAI | AI platform buyer | AI compute, infrastructure partnerships, and data center scale relevance | openai.com | Infrastructure Lead, Procurement Director, Platform Engineering, Technical Program Manager | Strong Market Fit, Attendance Not Confirmed |
| Anthropic | AI platform buyer | High relevance for compute procurement and AI infrastructure partnerships | anthropic.com | Infrastructure Operations, Sourcing Lead, Engineering Manager, Partner Ecosystem Lead | Strong Market Fit, Attendance Not Confirmed |
| Dell Technologies | Server / infrastructure OEM buyer | Hardware, systems, and AI infrastructure commercialization relevance | dell.com | Product Manager, Supply Chain Director, Hardware Sourcing, Solutions Engineering Director | Strong Market Fit, Attendance Not Confirmed |
| Supermicro | Server / AI systems buyer | AI server and systems demand makes this a strong ecosystem account | supermicro.com | Procurement Manager, Systems Engineering Lead, Product Operations, Supply Chain Director | Strong Market Fit, Attendance Not Confirmed |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Technology Officer (CTO) | Executive / Technology | C-level | Owns infrastructure direction and strategic AI stack decisions |
| 2 | VP Infrastructure / VP Engineering | Engineering / IT | VP | Influences architecture, scaling, and platform procurement |
| 3 | Director of Procurement / Strategic Sourcing | Procurement / Supply Chain | Director | Controls buying process, vendor selection, and commercial terms |
| 4 | Data Center Operations Director | Facilities / Operations | Director | Key buyer for cooling, power, rack, and monitoring solutions |
| 5 | AI / ML Platform Lead | Data Science / Engineering | Manager / Director | Specifies compute, storage, and orchestration requirements |
| 6 | Network Architecture Manager | IT / Network | Manager / Director | Critical for data movement, interconnect, and latency-sensitive AI workloads |
| 7 | Facilities Director | Facilities / Real Estate | Director | Influences energy, cooling, maintenance, and site readiness decisions |
| 8 | Program Manager, AI Infrastructure | Program Management | Manager / Senior Manager | Coordinates deployment, timelines, and cross-functional buying decisions |
| 9 | Supplier Manager / Vendor Manager | Procurement / Operations | Manager | Owns supplier evaluation and relationship management |
| 10 | Partnerships Director | Business Development | Director | Useful for ecosystem alliances, channel sales, and co-marketing |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core category for AI infrastructure, cloud, and enterprise buyers | Enterprise AI platform, cloud, observability, and infrastructure software |
| 2 | Computer Software | Many attendee companies will be software-led AI adopters | AI tooling, MLOps, orchestration, DevOps, data platforms |
| 3 | Semiconductors | Compute supply chain is central to the summit | Accelerators, memory, packaging, interconnect, chip ecosystem sales |
| 4 | Computer Hardware | Servers, racks, storage, and AI systems are core event topics | Servers, appliances, edge hardware, infrastructure platforms |
| 5 | Internet | AI-native internet companies often lead infrastructure adoption | Cloud consumption, AI services, platform partnerships |
| 6 | Telecommunications | Network and data movement are key themes | Connectivity, interconnect, transport, and latency-sensitive infrastructure |
| 7 | Computer Networking | Data movement and AI cluster networking are central themes | Networking, interconnect, fabric, switching, optical systems |
| 8 | Utilities | Power delivery and energy efficiency are essential to AI data centers | Power systems, grid, backup, energy efficiency, demand management |
| 9 | Facilities Services | Operations and facility management buyers are highly relevant | Data center facilities, maintenance, and operational services |
| 10 | Electrical/Electronic Manufacturing | Hardware ecosystems and power electronics are adjacent markets | Power distribution, control systems, electronics supply chain |
| 11 | Mechanical or Industrial Engineering | Thermal, facility, and systems engineering are critical to AI infra | Cooling, mechanical systems, system integration, deployment |
| 12 | Management Consulting | Advisors influence sourcing, architecture, and transformation decisions | Advisory, strategic partnerships, and enterprise introductions |
| 13 | Renewables & Environment | Sustainability and energy efficiency are growing AI infrastructure concerns | Carbon, energy optimization, and facility sustainability solutions |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | 8,000 | Confirmed | Official website meta description | Presented on the event’s official website as a current-year expectation |
| Speaker count | 400+ | Confirmed | Official website meta description | Supports strong content depth and business networking potential |
| Exhibitor count | Not publicly confirmed | Unavailable | No count provided in the supplied source text | Could be assessed from sponsor roster or expo directory if available |
| Buyer count | Not publicly confirmed | Unavailable | No buyer count provided by organizer in the supplied text | Buyer-side concentration is inferred from event positioning |
| Historical attendance | Not verified from prior-year official list in the supplied materials | Unavailable | No prior-year official list was provided in the source text | Attendance figure not publicly confirmed by the organizer beyond the official stated estimate |
| Sponsor count | Not publicly confirmed | Unavailable | Sponsor roster is referenced on site, but count not supplied | Sponsor directory would improve prospecting precision |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Compute | GPU, CPU, accelerator, and cluster scale requirements | Meet buyers evaluating performance, throughput, and total cost | Servers, accelerators, systems, deployment services |
| AI Data Center | Power, cooling, space, and operational reliability | Engage facilities and operations leaders with infrastructure solutions | Cooling, racks, PDUs, monitoring, facility services |
| Data Movement | Low-latency, high-throughput transfer between systems and clusters | Target network, interconnect, and storage architects | Networking, optical, storage, fabric, interconnect solutions |
| Physical AI | Robotics, embodied systems, and operational AI deployment | Connect with teams exploring next-generation AI applications | Robotics platforms, edge compute, sensors, control systems |
| Procurement / Sourcing | Vendor comparison, pricing, capacity, and supply assurance | Pitch commercial value to decision-makers | Managed services, hardware procurement, contracting support |
| Sustainability / Energy | Energy efficiency and power availability | Reach buyers under pressure to lower infrastructure footprint | Energy analytics, efficiency software, thermal optimization |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The summit is centered on buyers and operators of AI infrastructure |
| Decision-maker availability | High | Likely participation from technical leaders, procurement leaders, and operator-side decision-makers |
| Data collection potential | High | Strong for attendee list building, speaker tracking, sponsor scraping, and buyer profiling |
| Apollo targeting potential | Very High | Clear industry and job-title match across cloud, hardware, data center, and procurement personas |
| Geographic targeting potential | High | Strong Bay Area concentration with national and global reach |
| Best outreach approach | Account-based outreach | Target high-value infrastructure accounts, speaker organizations, and sponsor ecosystems |
| Overall lead quality | Very High | Excellent event for lead generation, buyer profiling, and enterprise targeting |
| Best use case | B2B attendee list sales and target-account prospecting | Useful for vendors selling infrastructure software, hardware, services, and energy solutions |
| Limitations / risks | Some event-specific participation data is not publicly verified in the supplied source text | Use caution when labeling companies as attendees unless officially confirmed |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Semiconductors; Computer Hardware; Computer Networking; Telecommunications; Utilities; Facilities Services; Electrical/Electronic Manufacturing; Mechanical or Industrial Engineering | Capture the full AI infrastructure buying ecosystem |
| Departments | Procurement, IT, Engineering, Infrastructure, Data Center Operations, Facilities, Supply Chain, Product, Partnerships | Reach decision-makers and influencers across the buying chain |
| Seniority | Manager, Director, VP, CXO | Prioritize budget owners and strategic evaluators |
| Job titles | CTO, CIO, VP Infrastructure, Director of Procurement, Strategic Sourcing Manager, Data Center Operations Director, AI Platform Lead, Network Architecture Manager, Facilities Director, Supplier Manager | Focus on titles likely to attend or influence infrastructure purchasing |
| Geography | United States; California; Bay Area; West Coast; global enterprise hubs | Align with local concentration and national draw |
| Employee size | 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,001+ | Include scale buyers with infrastructure budgets |
| Keywords | AI infrastructure, data center, GPU, compute, interconnect, cloud, colocation, MLOps, platform engineering, power, cooling | Improve search precision for event-relevant accounts |
| Company type | Enterprise, public company, hyperscaler, data center operator, OEM, systems integrator, AI-native startup | Differentiate buyers, partners, and influencer accounts |
| Revenue range | $50M+, especially $250M+ | Prioritize organizations with enterprise infrastructure spend |
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| AI Infra Summit 2026 official website | Official organizer/event website | Event name, dates, venue, attendee estimate, speaker estimate, event tracks, and official positioning | Very High |
| Official registration / agenda navigation on event site | Official event pages referenced in site navigation | Existence of agenda, speakers, attending, sponsors, and floorplan sections relevant to buyer profiling | High |
| Official event homepage text provided in source excerpt | Primary source excerpt | Confirmed September 15–17, 2026 timing and Santa Clara Convention Center venue | Very High |
| Official website meta description | Official metadata | 8,000 attendees and 400+ speakers claim | High |
| Santa Clara Convention Center | Venue website | Venue identity and location reference | High |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to AI Infra Summit 2026 — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.